ИИ-агенты
yomo
Serverless AI agent framework running on geo-distributed edge infrastructure.
★ 1,9 тыс. звёздCustom
Смотреть руководство →mlx — проект с открытым исходным кодом из категории «ИИ-агенты» от ml-explore (ml-explore/mlx на GitHub). У него 28 686 звёзд на GitHub и 2 318 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 8 октября 2026.
Apple's array framework for running ML efficiently on Apple silicon.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Built for the Mac GPU and unified memory.
Familiar array programming model.
Efficient computation graphs.
Use it from Python with pip install mlx.
Free for any use.
Maintained by Apple's ML research team.
Download the source and move into the project folder.
git clone https://github.com/ml-explore/mlx.git
cd mlxThe fastest way to try MLX is the pip package.
pip install mlxRun a tiny array computation to confirm it works.
python -c "import mlx.core as mx; print(mx.array([1, 2, 3]))"It is an open-source project at ml-explore/mlx with 2318 forks. Check the repo's contributors and recent commits to judge how active maintenance is.
Yes - it is MIT licensed, so you can use, modify, and distribute it freely, including in commercial projects.
No - this is infrastructure you run on your own hardware, so there is no per-request fee.
Usually not - agents call models, and MLX is the layer that runs those models fast on Macs. You need it if you are doing local inference on Apple silicon.
Clone the repo, read the README's quickstart, and run the provided example - most projects get you to a first result in minutes.
Serverless AI agent framework running on geo-distributed edge infrastructure.
A dev-first framework for building and running autonomous AI agents.
The veteran open-source framework for conversational AI that you host.
NVIDIA's reference stack for running AI agents more securely inside OpenShell sandboxes
The open runtime for AI agents — a Rust platform for running, governing and routing agents with TokenOps.
Microsoft's open framework for red-teaming generative AI systems.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если mlx вам не подходит.
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DeepSeek's plugin-based agent harness where everything is a plugin.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к mlx — продолжайте изучать полку по обе стороны от него.
Alibaba's in-page GUI agent: control any web interface with natural language, from one script tag
Microsoft's SDK for weaving LLMs into real applications, fast.
Open-source search infrastructure built for AI workloads.
Mastra is the modern TypeScript framework for AI-powered applications and agents.
A lightweight, powerful framework for multi-agent workflows
The open-source studio for labeling data of every type.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.